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- W2364791311 abstract "Aiming at enhancing rationality and efficiency of optimal PMU placement, the paper proposed a new error analysis method and use improved Genetic-simulated Annealing Algorithm to optimize the PMU placement in several IEEE standard test systems. The new error analysis method takes both measurement redundancy and state estimation accuracy into account without calculating Jacobian matrix, and can also obtain the network observability. The research results prove that the method and algorithm used here can not only find all solutions of PMU placements satisfying full network observability, but also make a further progress in whole system measurement accuracy, and thus, its effectiveness and advantages can be varified." @default.
- W2364791311 created "2016-06-24" @default.
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- W2364791311 date "2014-01-01" @default.
- W2364791311 modified "2023-09-28" @default.
- W2364791311 title "Research on Multi-objective Optimal PMU Placement Based on Error Analysis Theory and Improved GASA" @default.
- W2364791311 hasPublicationYear "2014" @default.
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